JonasImazon / Road_detection_modelLinks
☆25Updated 2 years ago
Alternatives and similar repositories for Road_detection_model
Users that are interested in Road_detection_model are comparing it to the libraries listed below
Sorting:
- A simple script to create geo-tagged image chips from high-resolution RS images for training deep learning models such as U-net.☆14Updated 3 years ago
- This repository contains the files for running the Patchify GUI.☆11Updated 3 years ago
- U-Net semantic segmentation for satellite imagery☆27Updated last year
- ☆43Updated last year
- AgriFieldNet Model for Crop Detection from Satellite Imagery☆19Updated 2 years ago
- Starter-pack for the AI4EO Food Security Challenge☆21Updated 2 years ago
- ☆17Updated 7 months ago
- ☆12Updated last month
- ☆12Updated last month
- Official implementation of improved parcel boundary delineation using SAM image embeddings and detail enhancement filters☆10Updated last month
- Land Use and Land Cover Mapping Using Deep Learning Based Segmentation Approaches and VHR Worldview-3 Images☆19Updated 2 years ago
- Machine learning and deep-learning project tutorials☆12Updated 6 years ago
- Learning to predict crop type from heterogeneous sparse labels using meta-learning☆19Updated 3 years ago
- A lightweight Python package for interactive mapping with Earth Engine and folium☆28Updated last year
- A ninja python package that unifies the Google Earth Engine ecosystem.☆63Updated 5 months ago
- ☆41Updated 2 years ago
- Enhancement of MODIS NIDVI to 10m resolution using U-Net☆30Updated 2 years ago
- The Awesome Spectral Indices Streamlit App.☆24Updated 7 months ago
- End-to-end workflow for generating high resolution cropland maps☆107Updated last month
- Conformal prediction for Google Earth Engine☆19Updated 10 months ago
- Pytorch dataloader and pytorch lightning datamodule for Earth Observation imagery☆15Updated 3 years ago
- Dynamically create image chips from STAC items☆33Updated this week
- ☆57Updated 11 months ago
- 🛰 Deep learning for deforestation classification and forecasting in satellite imagery☆27Updated last year
- Rapid map creation with machine learning and earth observation data.☆72Updated 6 months ago
- A Python package for interactive mapping☆20Updated 4 years ago
- SXL: Spatially explicit learning of geographic processes with auxiliary tasks☆14Updated 3 years ago
- Visualize classified time series data with interactive Sankey plots in Google Earth Engine☆105Updated last year
- PyTorch EO aims to make Deep Learning for Earth Observation data easy and accessible to real-world cases and research alike.☆44Updated last month
- Python routines for Machine Learning applications for Earth Observation☆10Updated 5 years ago